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The Kraft process is a method of preparing pulp whose main advantage is the recovery of chemicals associated therewith. The causticizing system is part of the chemical recovery cycle of this process, and even though this system is completed in Causticizers, most of the lime is converted into CaCO3 in the Slaker. This work aims to generate empirical models with the help of statistical technique multiple linear regression to try to describe more effectively the efficiency of the slaker. From operational data from a cellulose industry and also using up the STATISTICA 7 software that performed the statistical procedures were generated static and dynamic models, even though the causticizing process occurs dynamically. In dynamic models, the technique was used to insert the variable Causticizing Efficiency as late entry. In other words, added values of EC (previously read) in the data to being provided. The results obtained are presented at the end of each regression model by the determining coefficients and also by the graphics to the validation data. All dynamic models provide superior results when compared to static models, describing satisfactorily the slaker.

Modelagem do Extintor da Caustificação de uma Indústria de Celulose por Regressão Linear Múltipla